Recorded Future introduces Model Context Protocol (MCP), optimizing AI agents' access to intelligence for improved decision-making in security operations.

Recorded Future has just unveiled the Model Context Protocol (MCP), a significant addition designed to enhance the integration of AI agents with sophisticated intelligence. This tool is set to transform how security teams process data and respond to threats, allowing for quicker and more reliable decision-making.
As threat actors increasingly harness AI for malicious purposes—automating reconnaissance and executing complex attacks with minimal oversight—security teams are similarly shifting toward using AI-driven agents. However, the effectiveness of these agents is tethered to the quality of the intelligence that informs their operations. Without robust and accurate data, even the most advanced AI agents can provide inconsistent responses, leading to uncertainty and slow reaction times. This is where MCP aims to bridge the gap.
For over 15 years, Recorded Future has served as a trusted intelligence partner for human analysts, and now with MCP, it extends that expertise directly to AI agents, ensuring they can tap into valuable intelligence whenever needed. This integration allows agents to utilize tools such as Claude, ChatGPT, Copilot, and Gemini CLI to enhance their operational capabilities.
Direct Access to Intelligence
With MCP, agents gain standardized access to Recorded Future's intelligence resources through OAuth authentication. This user-friendly integration promises a comprehensive catalog of research tools accessible to AI agents, thereby enriching their decision-making processes.
The protocol encompasses over 80 tools, providing access to a plethora of insights, including threat actor profiles, risk scores, ransomware data, malware analysis, and dark web intelligence. This level of integration enables teams to directly implement critical intelligence into their existing workflows and client software interfaces.
Enhanced Functionality for Agents
One of the standout features of MCP is its ability to facilitate direct interaction with the Recorded Future platform. AI agents can now write to Watch Lists and create Platform Analyst Notes related to specific threat actors, thus automating responses based on the intelligence they gather. This not only streamlines the analytical process but ensures that intelligence remains current, as agents can automatically update their Watch Lists based on new trends and tools.
The setup process for MCP is straightforward. It can be added as a tile in the Integration Center, allowing for easy access and management of integrations. Users can implement OAuth 2.0 authentication via Client ID/Secret for sustained access or continue using portal user authentication methods.
Efficiency and Cost-Effectiveness
MCP is engineered to reduce the number of calls agents must make to retrieve pertinent information, allowing a crawl functionality through the Intelligence Graph. This capability helps agents quickly identify related entities without being bogged down by repeated searches, ultimately lowering costs and minimizing latency as operations scale.
In the past year, over 100 enterprises have tested MCP through a pilot program, revealing three primary usage patterns that highlight efficiency gains:
- Customers have successfully integrated bulk enrichment directly into their SIEM and SOAR systems, reducing manual lookups and enabling alerts to come pre-enriched with the latest intelligence.
- Automated profiling of threat actors, along with the exploration of TTPs (Tactics, Techniques, and Procedures) and malware analysis, allows agents to seamlessly trace indicators back to their sources.
- Automated reporting simplifies the generation of compliance and risk posture assessments, minimizing the time analysts spend on report assembly and shifting their focus toward strategic analysis.
Accelerating Incident Response
MCP also redefines incident response and threat hunting. By embedding decision-making capabilities directly into agent workflows, the process from detection to action is expedited, allowing responders to concentrate on critical aspects requiring human analysis while agents handle preliminary tasks.
The positive impact of these developments is already manifesting. Recorded Future's AI assistant is operational, and with the introduction of MCP, the integration of intelligence with agent functionalities has become more streamlined than ever. This interconnected approach provides a cohesive security management program, steering clear of disjointed tools and offering an exceptional level of efficiency.
Looking Ahead
Recorded Future's commitment to evolving its AI capabilities will continue, with an announcement regarding the next phase expected soon. Existing customers with subscriptions that include unlimited integrations can easily access MCP, while new users are invited to request demonstrations to witness the system's potential firsthand.
To enable MCP, organizations should consult with their enterprise administrators. If current subscriptions do not cover unlimited integrations, recorded future will allow access to MCP through 2026, ensuring that teams can remain agile in their security operations.
In a rapidly changing threat landscape, the integration of intelligence into AI systems is not just advantageous; it’s imperative for maintaining security effectiveness and operational readiness.
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